A stereovision based advanced airbag system

Authors:
Seok-Joo Lee;Yong-Guk Kim;Min-Soo Jang;Hyun-Gu Lee;Gwi-Tae Park
Affiliations:
Dept. of Electrical Engineering, Korea University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Dept. of Electrical Engineering, Korea University, Seoul, Korea;Dept. of Electrical Engineering, Korea University, Seoul, Korea;Dept. of Electrical Engineering, Korea University, Seoul, Korea
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

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Abstract

Occupant classification in the car is an essential issue for an advanced airbag system. The present paper describes a stereovision based occupant classification system (OCS) within an embedded system, by which triggering of the airbag deployment can be intelligently controlled. The embedded system consists of dual Digital Signal Processors; one is for stereo matching algorithm and the other is for calculating an SVM algorithm for the OCS. Performance was evaluated using our stereo image database. Results suggest that the system is satisfactory as an embedded OCS system.